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[2023-10-22 20:56:06,086::train::INFO] [train] Iter 561890 | loss 0.7235 | loss(rot) 0.1670 | loss(pos) 0.0546 | loss(seq) 0.5019 | grad 2.9416 | lr 0.0000 | time_forward 3.7030 | time_backward 4.7460 |
[2023-10-22 20:56:15,015::train::INFO] [train] Iter 561891 | loss 1.2182 | loss(rot) 1.1063 | loss(pos) 0.1117 | loss(seq) 0.0002 | grad 11.6353 | lr 0.0000 | time_forward 3.8620 | time_backward 5.0630 |
[2023-10-22 20:56:17,652::train::INFO] [train] Iter 561892 | loss 1.6198 | loss(rot) 0.7081 | loss(pos) 0.3809 | loss(seq) 0.5307 | grad 4.5713 | lr 0.0000 | time_forward 1.3250 | time_backward 1.3090 |
[2023-10-22 20:56:26,811::train::INFO] [train] Iter 561893 | loss 1.0368 | loss(rot) 0.1943 | loss(pos) 0.1030 | loss(seq) 0.7395 | grad 4.8784 | lr 0.0000 | time_forward 3.9440 | time_backward 5.2120 |
[2023-10-22 20:56:34,082::train::INFO] [train] Iter 561894 | loss 0.2868 | loss(rot) 0.1046 | loss(pos) 0.0470 | loss(seq) 0.1352 | grad 2.9611 | lr 0.0000 | time_forward 3.3600 | time_backward 3.9080 |
[2023-10-22 20:56:42,561::train::INFO] [train] Iter 561895 | loss 1.5579 | loss(rot) 1.2922 | loss(pos) 0.0758 | loss(seq) 0.1900 | grad 3.3639 | lr 0.0000 | time_forward 3.6830 | time_backward 4.7930 |
[2023-10-22 20:56:47,305::train::INFO] [train] Iter 561896 | loss 0.3841 | loss(rot) 0.0646 | loss(pos) 0.0387 | loss(seq) 0.2808 | grad 2.1965 | lr 0.0000 | time_forward 2.3380 | time_backward 2.4030 |
[2023-10-22 20:56:54,955::train::INFO] [train] Iter 561897 | loss 0.3711 | loss(rot) 0.3221 | loss(pos) 0.0490 | loss(seq) 0.0000 | grad 3.3122 | lr 0.0000 | time_forward 3.3480 | time_backward 4.3000 |
[2023-10-22 20:57:02,603::train::INFO] [train] Iter 561898 | loss 0.1830 | loss(rot) 0.1325 | loss(pos) 0.0207 | loss(seq) 0.0298 | grad 2.6258 | lr 0.0000 | time_forward 3.2770 | time_backward 4.3670 |
[2023-10-22 20:57:10,523::train::INFO] [train] Iter 561899 | loss 0.7791 | loss(rot) 0.5387 | loss(pos) 0.0569 | loss(seq) 0.1836 | grad 2.4571 | lr 0.0000 | time_forward 3.4300 | time_backward 4.4870 |
[2023-10-22 20:57:18,610::train::INFO] [train] Iter 561900 | loss 1.5341 | loss(rot) 0.8941 | loss(pos) 0.1573 | loss(seq) 0.4827 | grad 3.6932 | lr 0.0000 | time_forward 3.4710 | time_backward 4.6140 |
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